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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 16309
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    INDEX
    Explanations

    mentions of the word "render" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rendering and artistic representations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulative
    -0.81
    adden
    -0.79
    idate
    -0.72
    activity
    -0.72
    gro
    -0.71
    gettable
    -0.69
    kson
    -0.69
    peria
    -0.67
    lifting
    -0.67
    ikawa
    -0.67
    POSITIVE LOGITS
    ezvous
    1.55
     rend
    1.27
     Rend
    1.10
    erers
    0.96
    erer
    0.94
    rait
    0.77
    isons
    0.76
    ragon
    0.76
    ende
    0.75
     revolutions
    0.74
    Activations Density 0.012%

    No Known Activations